Pavan Kapanipathi

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 67

Top Topics

Reinforcement Learning

Top Venues

EMNLP (Findings)

Publications

Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR (2024)
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. CoRR (2024)
Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR (2024)
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. ACL (1) (2024)
Shajith Ikbal, Udit Sharma, Hima Karanam, Sumit Neelam, Ronny Luss, Dheeraj Sreedhar, Pavan Kapanipathi, Naweed Khan, Kyle Erwin, Ndivhuwo Makondo, Ibrahim Abdelaziz, Achille Fokoue, Alexander Gray, Maxwell Crouse, Subhajit Chaudhury, Chitra Subramanian
Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. EMNLP (Findings) (2023)
Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. ACL (1) (2023)
Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austel, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
Learning to Guide a Saturation-Based Theorem Prover. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Maxwell Crouse, Ibrahim Abdelaziz, Kinjal Basu, Soham Dan, Sadhana Kumaravel, Achille Fokoue, Pavan Kapanipathi, Luis A. Lastras
Formally Specifying the High-Level Behavior of LLM-Based Agents. CoRR (2023)
Maxwell Crouse, Ramón Fernandez Astudillo, Tahira Naseem, Subhajit Chaudhury, Pavan Kapanipathi, Salim Roukos, Alexander Gray
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency. CoRR (2023)
Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. CoRR (2023)
Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramón Fernandez Astudillo, Achille Fokoue, Tim Klinger
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. CoRR (2023)
Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. ACL (Findings) (2023)
Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. ACL (1) (2023)
Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. CoRR (2023)
Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. CoRR (2022)
G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Saswati Dana, Dinesh Garg, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray, L. Venkata Subramaniam
Zero-shot Entity Linking with Less Data. NAACL-HLT (Findings) (2022)
Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. EMNLP (2022)
Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases. CoRR (2022)
Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. EMNLP (Findings) (2022)
Srinivas Ravishankar, Dung Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. EMNLP (Findings) (2022)
Subhajit Chaudhury, Sarathkrishna Swaminathan, R. Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramón Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, Alexander Gray
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization. EMNLP (2022)
Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji
Type-augmented Relation Prediction in Knowledge Graphs. AAAI (2021)
Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Lorraine Li, Pavan Kapanipathi, Kartik Talamadupula
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization. NAACL-HLT (2021)
Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
Learning to Guide a Saturation-Based Theorem Prover. CoRR (2021)
Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Mihaela A. Bornea, Alfio Gliozzo, Tahira Naseem, Pavan Kapanipathi
Generative Relation Linking for Question Answering over Knowledge Bases. ISWC (2021)
Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. AAAI (2021)
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations. ACL/IJCNLP (2) (2021)
Srinivas Ravishankar, June Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossillo, Achille Fokoue
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. CoRR (2021)
Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Mihaela A. Bornea, Alfio Gliozzo, Tahira Naseem, Pavan Kapanipathi
Generative Relation Linking for Question Answering over Knowledge Bases. CoRR (2021)
Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. ACL/IJCNLP (Findings) (2021)
Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. AAAI (2021)
Prithviraj Sen, Breno W. S. R. Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Francois P. S. Luus, Salim Roukos, Alexander G. Gray
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion. CoRR (2021)
Tahira Naseem, Srinivas Ravishankar, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Young-Suk Lee, Pavan Kapanipathi, Salim Roukos, Alfio Gliozzo, Alexander G. Gray
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. ACL/IJCNLP (2) (2021)
Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. CoRR (2021)
Mihaela Bornea, Ramón Fernandez Astudillo, Tahira Naseem, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Pavan Kapanipathi, Radu Florian, Salim Roukos
Learning to Transpile AMR into SPARQL. CoRR (2021)
Francois P. S. Luus, Prithviraj Sen, Pavan Kapanipathi, Ryan Riegel, Ndivhuwo Makondo, Thabang Lebese, Alexander G. Gray
Logic Embeddings for Complex Query Answering. CoRR (2021)
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. AAAI (2021)
Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. CoRR (2020)
Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula
Reading Comprehension as Natural Language Inference: A Semantic Analysis. CoRR (2020)
Keerthiram Murugesan, Mattia Atzeni, Pushkar Shukla, Mrinmaya Sachan, Pavan Kapanipathi, Kartik Talamadupula
Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge. CoRR (2020)
Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. CoRR (2020)
Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. ISWC (1) (2020)
Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij P. Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. AAAI (2020)
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. CoRR (2020)
Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula
Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks. CoRR (2020)
Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula
Reading Comprehension as Natural Language Inference: A Semantic Analysis. *SEM@COLING (2020)
Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji
Type-augmented Relation Prediction in Knowledge Graphs. CoRR (2020)
Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
Answering Science Exam Questions Using Query Reformulation with Background Knowledge. AKBC (2019)
Kshitij P. Fadnis, Kartik Talamadupula, Pavan Kapanipathi, Haque Ishfaq, Salim Roukos, Achille Fokoue
Heuristics for Interpretable Knowledge Graph Contextualization. CoRR (2019)
Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth D. Forbus, Michael Witbrock
High-Fidelity Vector Space Models of Structured Data. CoRR (2019)
Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huáscar Espinoza, Eitan Farchi, Christopher W. Geib, Odd Erik Gundersen, Seán Ó hÉigeartaigh, José Hernández-Orallo, Chiori Hori, Xiaowei Huang, Kokil Jaidka, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, Julian J. McAuley, David R. Martinez, Marwan Mattar, Mausam, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William W. Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. 40 (3) (2019)
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI (2019)
Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. CoRR (2019)
Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij P. Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. CoRR (2019)
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL (2018)
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR (2018)
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock
An Interface for Annotating Science Questions. EMNLP (Demonstration) (2018)
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. CoRR (2018)
Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock
Answering Science Exam Questions Using Query Rewriting with Background Knowledge. CoRR (2018)
Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, Amit P. Sheth
Domain-specific hierarchical subgraph extraction: A recommendation use case. IEEE BigData (2017)
Q. Vera Liao, Biplav Srivastava, Pavan Kapanipathi
A Measure for Dialog Complexity and its Application in Streamlining Service Operations. CoRR (2017)
Raimo Bakis, Daniel P. Connors, Parijat Dube, Pavan Kapanipathi, Abhishek Kumar, Dmitry Malioutov, Chitra Venkatramani
Performance of natural language classifiers in a question-answering system. IBM J. Res. Dev. 61 (4-5) (2017)
Amit P. Sheth, Pavan Kapanipathi
Semantic Filtering for Social Data. IEEE Internet Comput. 20 (4) (2016)
Sarasi Lalithsena, Pavan Kapanipathi, Amit P. Sheth
Harnessing relationships for domain-specific subgraph extraction: A recommendation use case. IEEE BigData (2016)
Revathy Krishnamurthy, Pavan Kapanipathi, Amit P. Sheth, Krishnaprasad Thirunarayan
Knowledge Enabled Approach to Predict the Location of Twitter Users. ESWC (2015)
Raghava Mutharaju, Pavan Kapanipathi
Are We Really Standing on the Shoulders of Giants? NoISE@ESWC (2015)
Siva Kumar Cheekula, Pavan Kapanipathi, Derek Doran, Prateek Jain, Amit P. Sheth
Entity Recommendations Using Hierarchical Knowledge Bases. KNOW@LOD (2015)
Pavan Kapanipathi, Prateek Jain, Chitra Venkatramani, Amit P. Sheth
User Interests Identification on Twitter Using a Hierarchical Knowledge Base. ESWC (2014)
Pavan Kapanipathi, Prateek Jain, Chitra Venkatramani, Amit P. Sheth
Hierarchical interest graph from tweets. WWW (Companion Volume) (2014)
Fabrizio Orlandi, Pavan Kapanipathi, Amit P. Sheth, Alexandre Passant
Characterising Concepts of Interest Leveraging Linked Data and the Social Web. Web Intelligence (2013)
Pavan Kapanipathi, Julia Anaya, Amit P. Sheth, Brett Slatkin, Alexandre Passant
Privacy-Aware and Scalable Content Dissemination in Distributed Social Networks. ISWC (2) (2011)
Pavan Kapanipathi, Fabrizio Orlandi, Amit P. Sheth, Alexandre Passant
Personalized Filtering of the Twitter Stream. SPIM (2011)
Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi
Twarql: tapping into the wisdom of the crowd. I-SEMANTICS (2010)
Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi, Amit P. Sheth
Linked Open Social Signals. Web Intelligence (2010)